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- Tasks: Design and enhance data-driven investment strategies using quantitative models.
- Company: Specialist investment research organisation with a focus on innovation.
- Benefits: Hybrid work model, collaborative team environment, and opportunities for growth.
- Why this job: Join a dynamic team and make an impact in systematic investing.
- Qualifications: Strong quantitative background and proficiency in Python required.
- Other info: Diverse perspectives are valued in this growing team.
The predicted salary is between 43200 - 72000 £ per year.
A specialist investment research organization is looking for a skilled Quantitative Analyst to support the development of data-driven investment strategies.
Responsibilities include:
- Designing and enhancing systematic strategies
- Developing quantitative models
- Conducting risk analysis
Ideal candidates should have a strong quantitative background and proficiency in Python. This hybrid position offers collaboration opportunities within a growing team in London and values diverse perspectives.
Data-Driven Quant: Systematic Investing (London, Hybrid) employer: Flisher + Partners
Contact Detail:
Flisher + Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data-Driven Quant: Systematic Investing (London, Hybrid)
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment research field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your quantitative models and any projects you've worked on in Python. This not only demonstrates your expertise but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those tricky technical questions! Brush up on your quantitative analysis and risk assessment knowledge. Practising common interview questions can help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data-Driven Quant: Systematic Investing (London, Hybrid)
Some tips for your application 🫡
Show Off Your Quant Skills: Make sure to highlight your quantitative background in your application. We want to see how you've used data and models in your previous roles, so don’t hold back on those impressive projects!
Python Proficiency is Key: Since proficiency in Python is a must-have, include specific examples of how you've used it in your work. Whether it's developing models or conducting analyses, we love to see your coding chops in action!
Tailor Your Application: Take the time to tailor your CV and cover letter to our job description. We appreciate candidates who take the extra step to align their experiences with what we're looking for in a Data-Driven Quant.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for this exciting opportunity in our London team!
How to prepare for a job interview at Flisher + Partners
✨Know Your Quantitative Stuff
Brush up on your quantitative analysis skills and be ready to discuss specific models you've worked on. Make sure you can explain your thought process behind designing systematic strategies and how you approach risk analysis.
✨Show Off Your Python Skills
Since proficiency in Python is key for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your analytical thinking.
✨Understand the Company’s Approach
Research the investment strategies and methodologies used by the organisation. Being able to discuss their current projects or recent developments will show your genuine interest and help you stand out as a candidate who aligns with their values.
✨Emphasise Collaboration and Diversity
This role values diverse perspectives, so be prepared to talk about your experiences working in teams. Share examples of how you’ve collaborated with others to enhance your work and how you appreciate different viewpoints in problem-solving.
